ALECSYS

An ALECSYS is a Strength-Based Learning Classifier System that is a Michigan-Style Classifier System and that implements a Bucket Brigade Algorithm for Credit Assignment/Learning.

• Context:
  • It includes a Ternary System to solve Rule Learning Tasks.
• Example(s):
  • …
• Counter-Example(s):
  • ADAM,
  • BioHEL,
  • BOOLE,
  • CB-HXCS,
  • DXCS,
  • ELF,
  • GABIL,
  • HCS,
  • iLCS,
  • LS-1,
  • MACS,
  • ZCSM.
• See: Pittsburgh-Style Classifier System, Credit Assignment; Reinforcement Learning; Rule Learning, Online Learning, Offline Learning, Artificial Adaptive System, Complex Adaptive Systems, Sequential Classifier System, Improved Classifier System, Distributed Classifier System, Parallel Learning Classifier System, Accuracy-Based Learning Classifier System.

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References

2009

• (Urbanowicz & Moore, 2009) ⇒ Ryan J. Urbanowicz, and Jason H. Moore. (2009). "Learning Classifier Systems: A Complete Introduction, Review, and Roadmap".; In: Journal of Artificial Evolution and Applications, 2009. Hindawi Publishing Corporation. doi:10.1155/2009/736398

1995

• (Dorigo, 1995) ⇒ Marco Dorigo. (1995). "ALECSYS and the AutonoMouse: Learning to Control a Real Robot by Distributed Classifier Systems". In: Machine Learning Journal, 19(3). ISBN:0885-6125, 1573-0565 doi:10.1023/A:1022649410928----